add qwen3-moe optimization #1441
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Yikun
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Jun 26, 2025
| @@ -35,6 +35,7 @@ | |||
| MODELS = [ | |||
| "Qwen/Qwen2.5-0.5B-Instruct", | |||
| "Qwen/Qwen3-0.6B-Base", | |||
| "Qwen/Qwen3-30B-A3B", | |||
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This file is too huge and will cost lots of time to run ci, please try to used reduce layer model: https://vllm-ascend.readthedocs.io/en/latest/developer_guide/contribution/testing.html#e2e-test-example
| @@ -33,3 +57,89 @@ class CustomQwen3MoeForCausalLM(Qwen3MoeForCausalLM): | |||
| "experts": | |||
| ["experts.0.gate_proj", "experts.0.up_proj", "experts.0.down_proj"], | |||
| } | |||
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| class AscendQwen3MoeSparseMoeBlock(nn.Module): | |||
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Please add ut for this: https://vllm-ascend.readthedocs.io/en/latest/developer_guide/contribution/testing.html
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Signed-off-by: yangcheng (AJ) <y00806874@china.huawei.com>
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Signed-off-by: yangcheng (AJ) <y00806874@china.huawei.com>
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What this PR does / why we need it?
Reuse some optimizations from deepseek.Does this PR introduce any user-facing change?
How was this patch tested?
test in 235b
parallelism tps open
dp16tp2ep32 160 close
dp16tp2ep32 192 on
dp8tp4ep32 76 close
dp8tp4ep32 128 on